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Cilt: 2 Sayı: 1 15 Temmuz 2020
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A Fuzzy Inference System Proposal for Selecting Marketing Strategy

Abstract

Changes in customer demands and advances in technology have led to the emergence of various marketing sectors. As a result of this, the expectation of each generation from brands or companies has become different. In addition, customers have begun to consider alternatives before purchasing a product, taking into account the various features that best meet their needs. Due to changing conditions, companies have forced to consider various criteria when determining their target markets and the types of products they introduce into the market. In this study, a fuzzy inference system has been proposed to provide support for the decision-making process related to the marketing strategy of the firm. When the proposed system was evaluated by experts, it was seen that satisfactory results were achieved.

Keywords

Teşekkür

The abstract of this study was presented at “The 5th International Fuzzy Systems Symposium (FUZZYSS'17) on October14-15 at Ankara, Turkey”.

Kaynakça

  1. Aghdaie, M. H., and Alimardani, M. (2015). Target market selection based on market segment evaluation: a multiple attribute decision making approach. International Journal of Operational Research, 24(3), 262-278.
  2. Akın, O., and Oruç, O. (2012). A prey predator model with fuzzy initial values. Hacettepe Journal of Mathematics and Statistics, 41(3), 387-395.
  3. Bang, V. V., and Joshi, S. L. (2010). Market expansion strategy–performance relationship. Journal of Strategic Marketing, 18(1), 57-75.
  4. Casabayó, M., Agell, N., and Sánchez-Hernández, G. (2015). Improved market segmentation by fuzzifying crisp clusters: A case study of the energy market in Spain. Expert Systems with Applications, 42(3), 1637-1643.
  5. Chen, B. C. (2017). Study on establishment of product life cycle model of cultural creative product industrialization. International Conference on Applied System Innovation (ICASI) (pp. 1259-1262), Sapporo, Japan.
  6. Chen, C. T., Lin, C. T., and Huang, S. F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International journal of production economics, 102(2), 289-301.
  7. Dalgıç, A. (2017). A RFID-Based Approach in the Effective Management of Stocks and an Implementation in FNSS Through Grouping Algorithm. Master of Science Thesis. Natural and Applied Sciences, Kırıkkale University, Kırıkkale.
  8. Durmaz, Y., and İlhan, A. (2015). Growth Strategies in Businesses and A Theoretical Approach. International Journal of Business and Management, 10(4), 210.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Endüstri Mühendisliği

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

15 Temmuz 2020

Gönderilme Tarihi

2 Aralık 2019

Kabul Tarihi

31 Aralık 2019

Yayımlandığı Sayı

Yıl 1970 Cilt: 2 Sayı: 1

Kaynak Göster

APA
Kokoç, M., Ersöz, S., & Aktepe, A. (2020). A Fuzzy Inference System Proposal for Selecting Marketing Strategy. Uluslararası Doğu Anadolu Fen Mühendislik ve Tasarım Dergisi, 2(1), 1-21. https://izlik.org/JA79YU22LA